Providing the reader with a balanced presentation on machine learning basics, intelligent learning methods and approaches, this book is packed with topics. The reader can expect to learn about a range of learning systems, from machine learning to applications of pattern recognition solutions in industry, economy, and engineering. In addition, intelligent tutoring systems are covered, as they are expected to re-shape the future of current e-learning and distance learning systems.
Dr. Zoran Gacovski has earned his PhD degree at Faculty of Electrical engineering, Skopje. His research interests include Intelligent systems and Software engineering, fuzzy systems, graphical models (Petri, Neural and Bayesian networks), and IT security. He has published over 50 journal and conference papers, and he has been reviewer of renowned Journals.
In his career he was awarded by Fulbright postdoctoral fellowship (2002) for research stay at Rutgers University, USA. He has also earned best-paper award at the Baltic Olympiad for Automation control (2002), US NSF grant for conducting a specific research in the field of human-computer interaction at Rutgers University, USA (2003), and DAAD grant for research stay at University of Bremen, Germany (2008).
Currently, he is a professor in Computer Engineering at European University, Skopje, Macedonia.
